Data Science Jobs

Capital One · Lincoln

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Capital One · Mansfield

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, mentors junior team members and drives prototypes through to production in a hybrid Nottingham team.

Michael Page · Birmingham · £85,000 – £95,000 pa

Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while leading a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.

Faculty · Remote (UK)

Lead technical direction on complex, business-critical AI projects for defence clients, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Combines hands-on ML depth with strategic oversight, mentoring data scientists and managing demanding client relationships. Requires UK Security Clearance and 2-4 days per week on client sites.

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with testing, CI/CD and monitoring. Partner with Product, Engineering, Credit and Operations to embed controls.

Harnham - Data and Analytics Recruitment · London · £100,000 pa

Lead operational analytics strategy while staying hands-on with SQL, experimentation and statistical measurement. Manage a team of analysts supported by analytics engineering, define the analytics roadmap, and partner with senior stakeholders to improve operational performance, customer outcomes and AI-enabled tools such as chatbots and copilots.

Palantir Technologies · Washington, United States · US$110,000 – US$170,000 pa

New-grad Deployment Strategists embed with customer teams, exploring data and intricate workflows to shape how Palantir's software is deployed against complex problems. The role involves building bespoke workflows, leading training sessions, and presenting results to audiences from analysts to C-suite executives, working alongside Engineers and Product Designers. Requires active Full Scope Poly clearance and 25-75% travel.

Palantir Technologies · New York, United States · US$6,700 pm

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets, integrating pipelines with Forward Deployed Engineers, and building customised workflows. The role involves leading training, presenting to analysts and executives, and scoping engagements across industries, with 25-75% travel and a focus on revitalising the American industrial base.

University of Sheffield · Sheffield · £32,080 pa

Builds and evaluates machine learning models that predict Strep A outbreak risk from multiple real-world datasets, turning them into early-warning signals. Works closely with clinicians and an engineering team so the analysis feeds into a practical public health tool. Combines health data, time series and mathematical modelling in a cross-disciplinary research setting.

Qualify Nation Recruitment · London · £28,000 – £38,000 pa

A traineeship covering AI fundamentals, generative AI and LLMs, prompt engineering, workflow and business process automation, AI agents, no-code platforms and API integrations. Participants build a portfolio through realistic projects such as chatbots, automated business processes and process analysis, with mentoring and career guidance. No prior AI or automation experience is required.

Databricks · United Kingdom

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

Synthesia · London

A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.

Faculty · London

Technical leadership role owning delivery of complex machine learning and Generative AI projects for financial services clients, while setting technical direction for the data science team. Involves mentoring, contributing to bids and scoping, and publishing thought leadership, with a focus on deep individual contribution and scalable Python codebases.

University of Essex · Milton Keynes · £41,950 pa

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play and pre-match betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns.